Fusion of soft information using TBM

Author

Stampouli, D. ; Brown, M. ; Powell, G.

Author_Institution

Innovation Works, EADS UK, Newport, UK

fYear

2010

fDate

26-29 July 2010

Firstpage

1

Lastpage

8

Abstract

Intelligence operations are dependent on humans for data gathering and processing. Measurements made by human observation are subjective and incorporate biases. Systematic processing of such data is not as straightforward as with electronic sensor data. This paper presents work in progress towards developing a system to fuse inconsistent information and minimising observation errors. A case-study is presented, relating the techniques to the application area of civilian intelligence systems. Within our system, the Transferable Belief Model (TBM) was used to fuse soft information from observers, and combine in both the discrete and continuous spaces.

Keywords

data acquisition; sensor fusion; TBM; civilian intelligence systems; data gathering; data processing; electronic sensor data; human observation; intelligence operations; observers; soft information Fusion; transferable belief model; Accuracy; Artificial intelligence; Color; Humans; Internet; Observers; Vehicles; Civilian Intelligence; HUMINT information; Soft Data Fusion; Transferable Belief Model;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion (FUSION), 2010 13th Conference on

Conference_Location

Edinburgh

Print_ISBN

978-0-9824438-1-1

Type

conf

DOI

10.1109/ICIF.2010.5712103

Filename

5712103